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NVIDIA dafay leeral rëset bu lalu ci fàttaliku ngir NemoClaw

NVIDIA dafay leeral rëset bu ubbeeku bu NemoClaw buy jox ab ndawu liggéeyukaay memory bu yàgg buñ yamale, journal yu jubbanti ak def sandbox.

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Source-provided image accompanying NVIDIA details a memory-driven agent recipe for NemoClaw
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Siiwalkat
developer.nvidia.com
Lëkkalekaayu cosaan
developer.nvidia.comhttps://developer.nvidia.com/blog/building-a-memory-driven-agent-with-nvidia-nemoclaw/
Xeetu balluwaay
Këyitu njëkk - ab yëgle ofisel, këyit, dosiye, wala xëtu pàrti bu njëkk bi ñuy jàng ci saasi.
KontekstXam lii ci 60 seconde

Tambalil fii

Term yu am solo

Memoire (Memoire agent)
Kontekst buñ denc bi ab ndawu IA di jëfandikoo ci jéego yi wala sesioŋ yi ngir gëna mëna wéy.
RAG (Generation buñ yokk ngir am)
Benn anam buy jëlee xam-xam bi bawoo ci biti, ba noppi dugal ko ci jamonoy inference.
MCP (Protokolu Kontekst Modèlu)
Protocole bu ubbeeku buy may aplikaasioŋu IA yi ñu mëna déngoo ak jumtukaayi biti, balluwaayi done, ak joxekati kontekst ci anam wuñ miin.
Nattal sa boppQuiz Agent IA

Lu xew

NVIDIA siiwal na ab jëmmal xarala ngir benn ndawu liggéeykat buy dawal ci memory, tabax ak NemoClaw, di jëfandikoo memory Markdown buñ yamale, ab téere SQLite ak doxalinu OpenShell. Kompani bi dafa xamle njariñu benchmark bu gëna baax ci baseline RAG, ci noonu muy wane ni misaal bi dafay jëfandikoo ay done yuñ sosal ak ab doxantu bu nekk ci biti.

NVIDIA neena misaalu NemoClaw bi dafa tabax ab ndawu liggéeykat bu nekk ci memory biy tëye ab "modèle boppam" bu nit ñi mëna jàng, ay projet, ay priorité, ay mébet ak ay anam liggéey yuy baaxoo am. Memoire bi dañu koy denc ci xëti Markdown yuñ yamale, am indexation, royuwaay yu wuute, fimu bawoo ak ay àppu màgg. Benn téere SQLite bu wuute dafay bind wareef yi, rang yi, jubbanti yi ak xew-xewu audit yi, baña bàyyi wuute gi am ci diggante firnde, xam-xam ak àtte.

Reset bi dafa am logique de rang buñ tënk, ab buntu mébet buy njëkkante ay wareef yu jëm ci jëfandikukat yi njëkkante, audit yu jubluwaay yuñ yokk rek, toppatoo mémoire buñ waajal, mesaas synthetik ak xëti mémoire, test unité ak ab walkthrough offline. NVIDIA neena rëset bi ubbeeku na, ñu defaree ko ni profil Hermes buñ mëna jëfandikoo ngir NemoClaw. misaal bi fi nekk du yónnee mesaas wala soppali sistem source, te misaal nit ñi, mbootaay yi, projet yi ak mesaas yi dañu sosal.

NVIDIA dafa wax ni, ci jëfandikoo Nemotron 3 Ultra, tabb modelu boppam yegg na ci 90.9% ci njubte ci 186 laaj, buñu ko méngale ak 82.8% ci ab lignéeru jëmmal-yokkum-generation. Dafay wane itam poñ yu gëna bari ci laaj yu jafe yi, topp liñ soppi, xalaat ci jamono, dindi mbir yi, synthese yu bari ak citation coverage. Lii ay resultaa yu bawoo ci misaalu Agent Memory Benchmark, du jàngat bu moom boppam.

Ci jamonoy doxal, NVIDIA dafa wax ni NemoClaw dafay boole OpenShell, mooy sandbox agent bi ba noppi di yoree sistemu fichier yi, liggéey bi ak jëfandikoo reso bi. Njàngat yi ngir inference biñ yor ak lëkkaloo MCP yi des nañu ci bitti sandbox bi. Source bi dafay wane ni ëmbiit liñ jëlee ak mémoire bi dañuy dugal ci model bi, duñu politiku kaaraange bu wóolu. Njëgg, disponibilite général ak konektër live yiñ jàppale leeral luñu ci.

Ay leeral ci cosaan: developer.nvidia.com ↗

Lu tax mu am solo

Design bi dafay may developpeur yi anam wu fëgër ngir tàqale firnde yu bawoo ci balluwaay yi, memory bi juddoo, àtteb agent bi ak jëf yiñ may - muy wuute bu am solo ci sistem yi ñuy seentu ñu dox ci coppite yi am ci barabu liggéey bi. NVIDIA's rapoor benchmark gains mën nañu am njariñ, waaye ñu ngi bawoo ci misaalu jàngat bu liggéeyukaay bi boppam te nekkul ñu taxawal seen bopp ci balluwaay bii.

Agent yu yàgg yi war nañu wuutale li mesaas biy wax ak li sistem bi gëm, limu jël dogal ak liñu ko may mu def. Architecture NVIDIA dafay leer ci yooyu fësal, lu mëna yombal njuumte yi ci ingestion firnde, toppatoo memory, retrieval ak jël dogal bu mujj.

Liggéeyu jubbantiku bi dafa am solo ndax jëfandikukat yi mën nañu toxal wala baña bàyyi xel ci wareef yi, denc dogal yooyu ci doxalin yu ci topp ba noppi xool wala soppali politiku tànneef yi ciy génn. Loolu dafay may jëfandikukat yi ñu mëna gis feedback bi, duñu yéem rek ci xeetu model bu nëbbu bi. Mën na am njariñ ci assistant yi wara mëna ànd ak coppite yi am ci priorité yi te duñu jàpp ni bépp laaj bu gaaw lu am solo la.

Gaañ-gaañu yiñ xamle ñoo gëna am doole ci coppite yi am ci dëgg ak xalaat ci jamono, xeetu jafe-jafe yi taarixu waxtaan ak seet mënu ñu saafara bu baax. Waaye, jàngat bi mingi yam ci référence bi ci source bi ak misaalu jëfandikoo gi. Benn metric-gëm ci corpus-dafa gënoon suufe ci modelu bopp bi moo gëna suufe ci baseline bi, loolu dafay wane ni gëna jub ci agrégat du dindi kompromis.

Royuwaayu kaaraange amna lu muy tekki itam: mémoire bi mën na yëgal jëf te doo ko may. Teg ay santaane ci bitti sandbox bi ak fexe am sañ-sañ yi ci runtime mën na wàññi jafe-jafe yi juum wala juum ci tegtal, waaye balluwaay bi joxewul test kaaraange bu moom boppam wala firnde yu bawoo ci jëfandikoo liggéeyukaay biy dundu.

Interactive Mechanism

Mekanism buy weccoo xalaat: naka lay doxee

Saytu xarala yu bees yi ci ginaaw yokkute bii ci anam wu weccoo xalaat.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
Saytu konsept buy weccoo xalaat+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Li nga wara seetaan ci topp

Ndax rëset bi dafay def luni mel ak done yu dëggu yi ci barabu liggéey bi, lëkkalekaay yi ci dundu ak yeneen xeetu liggéey, ak ni mbootaay yi di jëfandikoo ay gëm-gëm, nëbbëtu, tëye, efaase ak nangu nit suñu dem lu ëpp misaalu offline.

Test bu am solo bi ci topp mooy dugal kontu barabu liggéey dëgg ak lëkkalekaay yu am solo. NVIDIA dafa wax ni boole yooyu dañuy laaj ñu tàqale seen bopp ci wàllu gëm-gëm, nëbbëtu, tëye ak efaase, waaye balluwaay bi leeralul ay sàrt yuñ tëral, ni ñuy nangu wala am konektër.

Jangat yi moom seen bopp war nañu saytu ndax yokkute yiñ xamle ñu ngi wéy ci model yi, domen yi, dayo memory yi ak coppite yi ci leeral yi, ci noonu lañuy nattee priorité yu baaxul yi, memory yu yàgg wala yu jaarul yoon, citation failures ak njëgu maintenance biñ nara def.

Developpeur yi dañu wara xool itam ni politiku OpenShell di doxee ci biir senaario injection yu gaaw ak jëfandikoo jumtukaay. NVIDIA dafay leeral sandbox ak man-mani nguur, waaye balluwaay bii firndewul seen njariñ ci audit bu bawoo ci biti wala jàngat buy xeex.

Njëgg, leeral ci lisence ngir stack bi yépp, ndimbalu liggéey bi ak disponibilite général bindul ci post bi. Li ñu xamul dina am njeexital ci ndax rëset bi dafay gëna bari royuwaay njàngale wala yoon wi ñuy jëfandikoo ngir dugal ko ci liggéeyukaay bi.

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